The computing world has witnessed during the 1990s many advances in areas such as mobile and enterprise computing. The common underlying basis enabling the realization of various facets of these dinds of computing is Modeling, Simulation, and Artificial Intelligence. With the enterprise computing in areas as diverse as manufacturing, health organization, and commerce, the need for a disciplined, multifaceted, unified approach to modeling and simulation has become essential. This new book provides a forum for scientists, academicians, and professionals alike from around the globe to present their latest and exciting research findings in various fields of artificial intelligence, collaborative/distributed computing, modeling, simulation, and their integration. Whereas some of these research areas continue to seek answers to basic fundamental scientific inquiries that have remained unanswered for more than half a century, other questions have emerged only recently due to advances in various areas of computing infrastructure, technologies, and techniques. The principal objective of this book is to provide a unifying forum for developing postmodern AI-based modeling & simulation environments and their utilization in traditional application domains as well as those deemed to be vital in future technologies. Readership: R&D professionals and practitioners in CS, software engineering, AI, and computer modeling.

This book is a state-of-the-art survey on collaborative/distributed modeling and simulation computing environments. Leading researchers provide up-to-date presentations on new methods and emerging technologies for intelligent, networked computing paradigms. The computing world has witnessed extraordinary advances in areas such as mobile and enterprise computing. With enterprise computing spanning areas as diverse as manufacturing, health organizations, and commerce, the need for a multifaceted, unified approach to modeling and simulation has become essential.

The underlying technologies enabling the realization of recent advances in areas like mobile and enterprise computing are artificial intelligence (AI), modeling and simulation, and software engineering. A disciplined, multifaceted, and unified approach to modeling and simulation is now essential in new frontiers, such as Simulation Based Acquisition. This volume is an edited survey of international scientists, academicians, and professionals who present their latest research findings in the various fields of AI; collaborative/distributed computing; and modeling, simulation, and their integration. Whereas some of these areas continue to seek answers to basic fundamental scientific inquiries, new questions have emerged only recently due to advances in computing infrastructures, technologies, and tools. The bookAs principal goal is to provide a unifying forum for developing postmodern, AI-based modeling and simulation environments and their utilization in both traditional and modern application domains. Features and topics: * Blends comprehensive, advanced modeling and simulation theories and methodologies in a presentation founded on formal, system-theoretic and AI-based approaches * Uses detailed, real-world examples to illustrate key concepts in systems theory, modeling, simulation, object orientation, and intelligent systems * Addresses a broad range of critical topics in the areas of modeling frameworks, distributed and high-performance object-oriented simulation approaches, as well as robotics, learning, multi-scale and multi-resolution models, and multi-agent systems * Includes new results pertaining to intelligent and agent-based modeling, the relationship between AI-basedreasoning and Discrete-Event System Specification, and large-scale distributed modeling and simulation frameworks * Provides cross-disciplinary insight into how computer science, computer engineering, and systems engineering can collectively provide a rich set of theories and methods enabling contemporary modeling and simulation This state-of-the-art survey on collaborative/distributed modeling and simulation computing environments is an essential resource for the latest developments and tools in the field for all computer scientists, systems engineers, and software engineers. Professionals, practitioners, and graduate students will find this reference invaluable to their work involving computer simulation, distributed modeling, discrete-event systems, AI, and software engineering.

Introduction.- Part I: Modeling & simulation.- Part II: AI.- Part III: Software engineering.- Part IV: Collaborative/distributed computing.The complete table of contentscan be found on the Internet:http://www.springer.de